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feat(engine): expose NestJobCost, the benchmark's scoring

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Engines optimized guesses at the benchmark cost: Opus55 re-implemented
salvage credit, Qwen used plate area per part area, Gpt6Astra ignored
salvage. NestJobCost moves StockLadder's EstimateNetArea into a public
home (net sheet area, unplaced-part penalty, whole-result Evaluate) and
the benchmark and StockLadder now call it. Scores are unchanged: tests pin
it against a frozen copy of the old computation and real benchmark runs.
Bounds still include marks, as before, so scores do not move.

Co-Authored-By: Codex <noreply@openai.com>
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
aj
2026-09-25 08:12:07 -04:00
co-authored by Codex Claude Opus 5.5
parent ae2b0beb45
commit dd1a958f5c
7 changed files with 286 additions and 39 deletions
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OpenNest.Engine.Tests/Jobs/NestJobCostTests.cs
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using OpenNest.CNC;
using OpenNest.Engine.Jobs;
using OpenNest.Geometry;
namespace OpenNest.Engine.Tests.Jobs;
public class NestJobCostTests
{
public static IEnumerable<object[]> EdgeCases()
{
foreach (var rate in new[] { 0.0, 0.5, 1.0 })
foreach (var edge in new[] { "bottom", "top", "left", "right" })
foreach (var quadrant in new[] { 1, 2, 3, 4 })
yield return new object[] { rate, edge, quadrant };
}
[Theory]
[MemberData(nameof(EdgeCases))]
public void EveryEdgeMatchesFrozenScoringExactly(double rate, string edge, int quadrant)
{
var stock = new NestPlateStock("sheet", new Size(20, 20), partSpacing: 0.25,
edgeSpacing: new Spacing(1, 1, 1, 1), quadrant: quadrant);
var work = stock.WorkArea;
var width = edge is "left" or "right" ? 4 : 18;
var height = edge is "bottom" or "top" ? 4 : 18;
var x = work.Left + (edge == "left" ? 14 : 0);
var y = work.Bottom + (edge == "bottom" ? 14 : 0);
var part = new NestJobPart("part", PartGeometrySnapshot.FromProgram(
TestDrawingFactory.Rectangle(width, height)), 2);
var job = new NestJob(new[] { part }, new[] { stock },
new NestJobOptions(salvageRate: rate, minimumSalvageDimension: 2));
var sheet = new NestJobPlateResult(0, stock, new[] { new NestJobPlacement("part", 0, x, y, 0) });
var expected = 400 - rate * (18 * 13.75);
Assert.Equal(expected, LegacyNestJobCost.EstimateNetArea(job, sheet));
Assert.Equal(expected, NestJobCost.NetSheetArea(job, sheet));
Assert.Equal(expected, NestJobCost.NetSheetArea(job.Options, stock, new Box(x, y, width, height)));
#pragma warning disable CS0618 // Compatibility API must retain the old result.
Assert.Equal(expected, StockLadderNestingEngine.EstimateNetArea(job, sheet));
#pragma warning restore CS0618
}
[Theory]
[InlineData(0, 5, 100)]
[InlineData(0.5, 0, 100)]
[InlineData(0.5, 7, 100)]
[InlineData(0.5, 6, 70)]
[InlineData(0.5, 5, 70)]
public void StockLadderFixtureRetainsThresholds(double rate, double minimum, double expected)
{
var part = new NestJobPart("part", PartGeometrySnapshot.FromProgram(TestDrawingFactory.Rectangle(4, 4)), 1);
var stock = new NestPlateStock("sheet", new Size(10, 10));
var job = new NestJob(new[] { part }, new[] { stock },
new NestJobOptions(salvageRate: rate, minimumSalvageDimension: minimum));
var sheet = new NestJobPlateResult(0, stock, new[] { new NestJobPlacement("part", 0, 0, 0, 0) });
Assert.Equal(expected, NestJobCost.NetSheetArea(job, sheet));
Assert.Equal(LegacyNestJobCost.EstimateNetArea(job, sheet), NestJobCost.NetSheetArea(job, sheet));
}
[Theory]
[InlineData(0)]
[InlineData(0.5)]
public void RotatedMarksAndMultipleSheetsKeepExactLegacyCost(double rate)
{
var program = TestDrawingFactory.Rectangle(4, 3);
program.MoveTo(2, 2);
program.Codes.Add(new LinearMove(9, 2) { Layer = LayerType.Scribe });
var part = new NestJobPart("part", PartGeometrySnapshot.FromProgram(program), 5);
var stock = new NestPlateStock("sheet", new Size(30, 40));
var other = new NestPlateStock("large", new Size(50, 50));
var job = new NestJob(new[] { part }, new[] { stock, other },
new NestJobOptions(salvageRate: rate, minimumSalvageDimension: 2));
var builder = new NestJobResultBuilder(job);
builder.AddSheet(stock, new[] { ("part", 10.123, 8.456, 0.37), ("part", 25.789, 17.321, 1.12) });
builder.AddSheet(other, new[] { ("part", 12.345, 19.876, 2.13) });
var result = builder.Build(NestJobStopReason.NoPlacementFound);
foreach (var sheet in result.Plates)
Assert.Equal(LegacyNestJobCost.EstimateNetArea(job, sheet), NestJobCost.NetSheetArea(job, sheet));
Assert.Equal(2500, NestJobCost.UnplacedPartPenalty(job));
Assert.Equal(result.Plates.Sum(sheet => LegacyNestJobCost.EstimateNetArea(job, sheet)) + 5000,
NestJobCost.Evaluate(job, result));
}
[Fact]
public void ScoringKeepsEtchBoundsEvenThoughMaterialGeometryExcludesThem()
{
var program = TestDrawingFactory.Rectangle(4, 3);
program.MoveTo(2, 2);
program.Codes.Add(new LinearMove(15, 2) { Layer = LayerType.Scribe });
var part = new NestJobPart("part", PartGeometrySnapshot.FromProgram(program), 1);
var stock = new NestPlateStock("sheet", new Size(10, 20));
var job = new NestJob(new[] { part }, new[] { stock },
new NestJobOptions(salvageRate: 0.5, minimumSalvageDimension: 1));
var sheet = new NestJobPlateResult(0, stock, new[] { new NestJobPlacement("part", 0, 0, 0, 0) });
Assert.Equal(130, LegacyNestJobCost.EstimateNetArea(job, sheet));
Assert.Equal(130, NestJobCost.NetSheetArea(job, sheet));
Assert.Equal(120, NestJobCost.NetSheetArea(job.Options, stock, JobPartGeometry.Read(part.Geometry).Bounds));
}
[Fact]
public void EmptySheetsAndEmptyStockRetainBenchmarkSemantics()
{
var stock = new NestPlateStock("sheet", new Size(10, 10));
var job = new NestJob(Array.Empty<NestJobPart>(), new[] { stock },
new NestJobOptions(salvageRate: 1, minimumSalvageDimension: 1));
var sheet = new NestJobPlateResult(0, stock, Array.Empty<NestJobPlacement>());
Assert.Equal(100, NestJobCost.NetSheetArea(job, sheet));
Assert.Equal(LegacyNestJobCost.EstimateNetArea(job, sheet), NestJobCost.NetSheetArea(job, sheet));
var empty = new NestJob(Array.Empty<NestJobPart>(), Array.Empty<NestPlateStock>());
Assert.Equal(0, NestJobCost.UnplacedPartPenalty(empty));
Assert.Equal(0, NestJobCost.Evaluate(empty, new NestJobResultBuilder(empty).Build(NestJobStopReason.Completed)));
}
}